Prompt_Tester / QUICKSTART.md
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A newer version of the Streamlit SDK is available: 1.53.1

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Quickstart Guide - Prompt A/B Tester

Local Development

1. Install Dependencies

pip install -r requirements.txt

2. Configure API Key (Option A: Secrets)

Create .streamlit/secrets.toml:

OPENAI_API_KEY = "sk-your-actual-api-key"

⚠️ Important: Never commit secrets.toml to Git!

3. Configure API Key (Option B: In-App)

Skip step 2 and enter API key directly in the sidebar when the app starts.

4. Run Application

streamlit run app.py

The app will open automatically in your browser at http://localhost:8501

Deployment on Hugging Face Spaces

1. Create New Space

  1. Go to https://huggingface.co/spaces
  2. Click "Create new Space"
  3. Choose:
    • Space name: your-space-name
    • SDK: Streamlit
    • Visibility: Public or Private

2. Upload Files

Upload all files from HuggingFace_App/ directory:

app.py
config.py
api_handler.py
test_runner.py
requirements.txt
README.md
.gitignore

Do NOT upload:

  • .streamlit/secrets.toml (use Repository secrets instead)
  • __pycache__/ directories

3. Configure Secret

  1. Go to your Space β†’ Settings β†’ Repository secrets
  2. Click "Add a secret"
  3. Enter:
    • Name: OPENAI_API_KEY
    • Value: Your OpenAI API key (e.g., sk-...)
  4. Save

4. Wait for Build

Your Space will automatically build and deploy. Check the build logs for any errors.

5. Access Your App

Your app will be available at: https://huggingface.co/spaces/YOUR_USERNAME/YOUR_SPACE_NAME

Usage Flow

Step 1: Configure (Sidebar)

  • API Key: Auto-loaded from secrets or enter manually
  • Model: Select GPT model (gpt-4o recommended)
  • Temperature: 0.1 for deterministic, 0.7 for creative
  • Max Tokens: 2000 (typical for medical/technical prompts)
  • Num Responses: 5 for quick test, 10-20 for reliable statistics

Step 2: Run Test

  1. Choose input method:
    • Upload files: Two .md or .txt files
    • Paste text: Directly in text areas
  2. Click "πŸš€ Uruchom Test"
  3. Wait for generation (progress bar shows status)

Step 3: Rate Responses

  1. Review each generated response
  2. Rate 1-5:
    • 1 = Very poor
    • 2 = Poor
    • 3 = Average
    • 4 = Good
    • 5 = Excellent
  3. Click "πŸ“Š Oblicz Wyniki"

Step 4: View Results

  • See statistics table (count, score, min, max)
  • Identify winner (higher average score)
  • Download CSV with full results and metadata

Troubleshooting

Error: "Invalid API key"

Solution: Check your API key in Hugging Face Spaces secrets or re-enter in sidebar.

Error: "Rate limit exceeded"

Solution: Wait 1-2 minutes before retrying. Reduce number of responses if problem persists.

Error: "Insufficient quota"

Solution: Add funds to your OpenAI account at https://platform.openai.com/account/billing

App is slow

Expected behavior: Each response takes 3-10 seconds to generate. Total time for 10 responses (5A + 5B) β‰ˆ 1-2 minutes.

Cost Optimization Tips

  1. Start small: Use 3-5 responses for initial tests
  2. Use gpt-4o: Best quality/cost ratio ($0.05 per 10 responses)
  3. Check cost: Use "πŸ’° Szacuj koszt" before running large tests
  4. Reduce max_tokens: If responses don't need to be long

Local vs Cloud Differences

Feature Local (Streamlit) Hugging Face Spaces
API Key Storage .streamlit/secrets.toml Repository secrets
Performance Depends on your machine Hugging Face servers
Cost Free (only OpenAI API) Free (only OpenAI API)
Accessibility localhost:8501 Public URL
SSL/HTTPS No Yes

Support

For issues or questions:

  • Check logs in "πŸ“‹ Logi" tab
  • Review Hugging Face Spaces build logs
  • Verify OpenAI API key is valid and has funds

Version: 2.0 (Streamlit) Date: 2025-10-14